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Received:January 05, 2015
Received:January 05, 2015
中文摘要: 利用多时间尺度下并网光伏电站电量资料以及同期的气象资料,研究了不同季节下典型气象因子对光伏发电量的影响机制和多变量间的耦合关系.结果表明:采用日尺度,全年日光伏发电量与日太阳总辐射的相关性最显著,其余依次是日照时数、气温日较差、日相对湿度(负相关)、日最高气温、日平均气温;不同季节中,夏季要考虑高温高湿的影响,春、秋、冬3季则要考虑气温日较差的影响;采用小时尺度,全年平均逐时光伏发电量与太阳总辐射的日变化趋势基本一致.
Abstract:Based on multi-time scale power data from grid-connected photovoltaic power station and meteorological data over the same period,the impact of typical meteorological factors on the photovoltaic power generation under different seasons and their multi-variable coupling relationship are analyzed. Adopting daily-scale,daily photovoltaic power generation during the whole year has the most significant correlation with daily global solar irradiation,followed by sunshine duration,diurnal temperature range,relative humidity (with negative correlation),daily maximum temperature,daily average temperature. In different seasons,the influence of high temperature and high humidity in summer,and diurnal temperature range (indicating weather types) in other seasons are considered. Adopting hour-scale,diurnal change of photovoltaic power generation remains almost the same as the global solar irradiation.
keywords: PV power generation the global solar irradiation sunshine duration diurnal temperature range time scale
文章编号：20160312 中图分类号： 文献标志码：
基金项目:国家自然科学基金青年项目(51307105);上海市高校青年教师培养资助计划(ZZsd113016);上海电力学院人才基金项目(k2013-010).
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